Skip to main content
Top
Published in: BMC Medical Informatics and Decision Making 1/2019

Open Access 01-12-2019 | Breast Cancer | Research article

A personalized, web-based breast cancer decision making application: a pre-post survey

Authors: Kirk D. Wyatt, Sarah M. Jenkins, Matthew F. Plevak, Marcia R. Venegas Pont, Sandhya Pruthi

Published in: BMC Medical Informatics and Decision Making | Issue 1/2019

Login to get access

Abstract

Background

Every case of breast cancer is unique, and treatment must be personalized to incorporate a woman’s values and preferences. We developed an individually-tailored mobile patient education application for women with breast cancer.

Methods

Pre-post surveys were completed by 255 women who used the tool.

Results

Patients thought the application included helpful information (N = 184, 72%) and was easy to navigate (N = 156, 61%). Most patients thought the amount of information in the tool was “about right” (N = 193, 87%). Decision making confidence increased by an average of 0.8 points (10-point scale) following a consultation and use of the tool (p < 0.001).

Conclusions

Tailored mobile applications may optimize care by facilitating shared decision making and knowledge transfer, and they may also enhance the experience of patients as they navigate through their breast cancer journey.
Literature
1.
go back to reference Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68(1):7–30.CrossRef Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68(1):7–30.CrossRef
2.
go back to reference Maughan KL, Lutterbie MA, Ham PS. Treatment of breast cancer. Am Fam Physician. 2010;81(11):1339–46.PubMed Maughan KL, Lutterbie MA, Ham PS. Treatment of breast cancer. Am Fam Physician. 2010;81(11):1339–46.PubMed
3.
go back to reference Campbell-Enns HJ, Woodgate RL, Chochinov HM. Barriers to information provision regarding breast cancer and its treatment. Support Care Cancer. 2017;25(10):3209–16.CrossRef Campbell-Enns HJ, Woodgate RL, Chochinov HM. Barriers to information provision regarding breast cancer and its treatment. Support Care Cancer. 2017;25(10):3209–16.CrossRef
4.
go back to reference Nicholas Z, Butow P, Tesson S, Boyle F. A systematic review of decision aids for patients making a decision about treatment for early breast cancer. Breast. 2016;26:31–45.CrossRef Nicholas Z, Butow P, Tesson S, Boyle F. A systematic review of decision aids for patients making a decision about treatment for early breast cancer. Breast. 2016;26:31–45.CrossRef
5.
go back to reference Nguyen SK, Ingledew PA. Tangled in the breast cancer web: an evaluation of the usage of web-based information resources by breast cancer patients. J Cancer Educ. 2013;28(4):662–8.CrossRef Nguyen SK, Ingledew PA. Tangled in the breast cancer web: an evaluation of the usage of web-based information resources by breast cancer patients. J Cancer Educ. 2013;28(4):662–8.CrossRef
6.
go back to reference Nghiem AZ, Mahmoud Y, Som R. Evaluating the quality of internet information for breast cancer. Breast. 2016;25:34–7.CrossRef Nghiem AZ, Mahmoud Y, Som R. Evaluating the quality of internet information for breast cancer. Breast. 2016;25:34–7.CrossRef
7.
go back to reference Quinn EM, Corrigan MA, McHugh SM, et al. Breast cancer information on the internet: analysis of accessibility and accuracy. Breast. 2012;21(4):514–7.CrossRef Quinn EM, Corrigan MA, McHugh SM, et al. Breast cancer information on the internet: analysis of accessibility and accuracy. Breast. 2012;21(4):514–7.CrossRef
8.
go back to reference Wofford JL, Smith ED, Miller DP. The multimedia computer for office-based patient education: a systematic review. Patient Educ Couns. 2005;59(2):148–57.CrossRef Wofford JL, Smith ED, Miller DP. The multimedia computer for office-based patient education: a systematic review. Patient Educ Couns. 2005;59(2):148–57.CrossRef
9.
go back to reference Pruthi S, Rausch S, Montori V, Hathaway JC, Vickers Douglas KS. Patient and clinician opinion of computer-based breast cancer education during a specialist consultation. Breast J. 2010;16(5):564–6.CrossRef Pruthi S, Rausch S, Montori V, Hathaway JC, Vickers Douglas KS. Patient and clinician opinion of computer-based breast cancer education during a specialist consultation. Breast J. 2010;16(5):564–6.CrossRef
10.
go back to reference Morgan ER, Laing K, McCarthy J, McCrate F, Seal MD. Using tablet-based technology in patient education about systemic therapy options for early-stage breast cancer: a pilot study. Curr Oncol. 2015;22(5):e364–9.CrossRef Morgan ER, Laing K, McCarthy J, McCrate F, Seal MD. Using tablet-based technology in patient education about systemic therapy options for early-stage breast cancer: a pilot study. Curr Oncol. 2015;22(5):e364–9.CrossRef
11.
go back to reference Agoritsas T, Heen AF, Brandt L, et al. Decision aids that really promote shared decision making: the pace quickens. BMJ. 2015;350:g7624.CrossRef Agoritsas T, Heen AF, Brandt L, et al. Decision aids that really promote shared decision making: the pace quickens. BMJ. 2015;350:g7624.CrossRef
12.
go back to reference Mandel JC, Kreda DA, Mandl KD, Kohane IS, Ramoni RB. SMART on FHIR: a standards-based, interoperable apps platform for electronic health records. J Am Med Inform Assoc. 2016;23(5):899–908.CrossRef Mandel JC, Kreda DA, Mandl KD, Kohane IS, Ramoni RB. SMART on FHIR: a standards-based, interoperable apps platform for electronic health records. J Am Med Inform Assoc. 2016;23(5):899–908.CrossRef
13.
go back to reference O’Connor AM. Validation of a decisional conflict scale. Med Decis Mak. 1995;15(1):25–30.CrossRef O’Connor AM. Validation of a decisional conflict scale. Med Decis Mak. 1995;15(1):25–30.CrossRef
14.
go back to reference Bowen D. Predictors of women’s internet access and internet health seeking. Health Care Women Int. 2003;24(10):940–51.CrossRef Bowen D. Predictors of women’s internet access and internet health seeking. Health Care Women Int. 2003;24(10):940–51.CrossRef
15.
go back to reference van Deursen AJ, van Dijk JA. Internet skills performance tests: are people ready for eHealth? J Med Internet Res. 2011;13(2):e35.CrossRef van Deursen AJ, van Dijk JA. Internet skills performance tests: are people ready for eHealth? J Med Internet Res. 2011;13(2):e35.CrossRef
16.
go back to reference Pereira JL, Koski S, Hanson J, Bruera ED, Mackey JR. Internet usage among women with breast cancer: an exploratory study. Clin Breast Cancer. 2000;1(2):148–53 discussion 154-145.CrossRef Pereira JL, Koski S, Hanson J, Bruera ED, Mackey JR. Internet usage among women with breast cancer: an exploratory study. Clin Breast Cancer. 2000;1(2):148–53 discussion 154-145.CrossRef
17.
go back to reference Bruce JG, Tucholka JL, Steffens NM, Neuman HB. Quality of online information to support patient decision-making in breast cancer surgery. J Surg Oncol. 2015;112(6):575–80.CrossRef Bruce JG, Tucholka JL, Steffens NM, Neuman HB. Quality of online information to support patient decision-making in breast cancer surgery. J Surg Oncol. 2015;112(6):575–80.CrossRef
18.
go back to reference Warren E, Footman K, Tinelli M, McKee M, Knai C. Do cancer-specific websites meet patient's information needs? Patient Educ Couns. 2014;95(1):126–36.CrossRef Warren E, Footman K, Tinelli M, McKee M, Knai C. Do cancer-specific websites meet patient's information needs? Patient Educ Couns. 2014;95(1):126–36.CrossRef
19.
go back to reference Elwyn G, O’Connor A, Stacey D, et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333(7565):417.CrossRef Elwyn G, O’Connor A, Stacey D, et al. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process. BMJ. 2006;333(7565):417.CrossRef
20.
go back to reference Mandelblatt J, Kreling B, Figeuriedo M, Feng S. What is the impact of shared decision making on treatment and outcomes for older women with breast cancer? J Clin Oncol. 2006;24(30):4908–13.CrossRef Mandelblatt J, Kreling B, Figeuriedo M, Feng S. What is the impact of shared decision making on treatment and outcomes for older women with breast cancer? J Clin Oncol. 2006;24(30):4908–13.CrossRef
21.
go back to reference Cyran EM, Crane LA, Palmer L. Physician sex and other factors associated with type of breast cancer surgery in older women. Arch Surg. 2001;136(2):185–91.CrossRef Cyran EM, Crane LA, Palmer L. Physician sex and other factors associated with type of breast cancer surgery in older women. Arch Surg. 2001;136(2):185–91.CrossRef
22.
go back to reference Montori VM, Breslin M, Maleska M, Weymiller AJ. Creating a conversation: insights from the development of a decision aid. PLoS Med. 2007;4(8):e233.CrossRef Montori VM, Breslin M, Maleska M, Weymiller AJ. Creating a conversation: insights from the development of a decision aid. PLoS Med. 2007;4(8):e233.CrossRef
23.
go back to reference Serpico V, Liepert AE, Boucher K, et al. The effect of Previsit education in breast Cancer patients: a study of a shared-decision-making tool. Am Surg. 2016;82(3):259–65.PubMed Serpico V, Liepert AE, Boucher K, et al. The effect of Previsit education in breast Cancer patients: a study of a shared-decision-making tool. Am Surg. 2016;82(3):259–65.PubMed
24.
go back to reference Jacobsen SJ, Xia Z, Campion ME, et al. Potential effect of authorization bias on medical record research. Mayo Clin Proc. 1999;74(4):330–8.CrossRef Jacobsen SJ, Xia Z, Campion ME, et al. Potential effect of authorization bias on medical record research. Mayo Clin Proc. 1999;74(4):330–8.CrossRef
Metadata
Title
A personalized, web-based breast cancer decision making application: a pre-post survey
Authors
Kirk D. Wyatt
Sarah M. Jenkins
Matthew F. Plevak
Marcia R. Venegas Pont
Sandhya Pruthi
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2019
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-019-0924-7

Other articles of this Issue 1/2019

BMC Medical Informatics and Decision Making 1/2019 Go to the issue